Localization of Mobile Transmitters by Means of Linear State Estimation Using RSS Measurements

被引：0
|
作者：
Pathirana, Pubudu N. [1 ]
Bishop, Adrian N. [1 ]
Savkin, Andrey V. [2 ]
机构：
[1] Deakin Univ, Sch Engn & IT, Geelong, Vic 3217, Australia
[2] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
来源：
2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4 | 2008年
基金：
澳大利亚研究理事会;
关键词：
Linear filtering; Kalman filter; Recieved signal strength (RSS); RSS-based localization; target tracking;
D O I：
10.1109/ICARCV.2008.4795519
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the problem of estimating the location and velocity of a mobile agent using the received signal strength (RSS) measurements. Typical power measurements are inherently nonlinear and in this approach we derive a linear measurement scheme using an analytical measurement conversion technique which can readily be used with RSS measuring sensors. Power measurements are hence used in our robust version of a linear Kalman filter to estimate the dynamic parameters of the moving transmitter.
引用
收藏
页码：210 / +
页数：2
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